Книги з теми "Targeted Maximum Likelihood Estimation"

Eliason, Scott. Maximum Likelihood Estimation. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1993. http://dx.doi.org/10.4135/9781412984928.

Eggermont, P. P. B., and V. N. LaRiccia. Maximum Penalized Likelihood Estimation. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-0716-1244-6.

LaRiccia, Vincent N., and Paul P. Eggermont. Maximum Penalized Likelihood Estimation. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b12285.

N, LaRiccia V., ed. Maximum penalized likelihood estimation. New York: Springer, 2001.

Millar, Russell B. Maximum Likelihood Estimation and Inference. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470094846.

Jeffrey, Pitblado, Sribney William, and Stata Corporation, eds. Maximum likelihood estimation with stata. 3rd ed. College Station, Tex: Stata Press, 2006.

S, Pitblado Jeffrey, and Poi Brian, eds. Maximum likelihood estimation with Stata. 4th ed. College Station, Tex: Stata Press, 2010.

Nagelkerke, Nico J. D. Maximum Likelihood Estimation of Functional Relationships. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2858-5.

Nagelkerke, Nico J. D. Maximum likelihood estimation of functional relationships. Berlin: Springer-Verlag, 1992.

Ruprecht, Jürg. Maximum-likelihood estimation of multipath channel. Konstanz: Hartung-Gorre, 1989.

Groeneboom, Piet, and Jon A. Wellner. Information Bounds and Nonparametric Maximum Likelihood Estimation. Basel: Birkhäuser Basel, 1992. http://dx.doi.org/10.1007/978-3-0348-8621-5.

Wooldridge, Jeffrey M. Specification testing and quasi-maximum likelihood estimation. Cambridge, MA: Dept. of Economics, Massachusetts Institute of Technology, 1987.

Diebold, Francis X. Exact maximum likelihood estimation of ARCH models. Philadelphia: Federal Reserve Bank of Philadelphia, Economic Research Division, 1993.

Sandmann, G. Maximum likelihood estimation of stochastic volatility models. London: London School of Economics, Financial Markets Group, 1996.

Aït-Sahalia, Yacine. Maximum likelihood estimation of stochastic volatility models. Cambridge, MA: National Bureau of Economic Research, 2004.

Bates, David S. Maximum likelihood estimation of latent affine processes. Cambridge, Mass: National Bureau of Economic Research, 2003.

Groeneboom, P. Information bounds and nonparametric maximum likelihood estimation. Basel: Birkhäuser, 1992.

Greenblatt, Seth A. Tensor methods for full-information maximum likelihood estimation: Unconstrained estimation. Reading: University of Reading. Department of Economics, 1992.

Ruiz, Esther. Quasi-maximum likelihood estimation of stochastic variance models. London: London School of Economics and Political Science, Suntory Toyota International Centre for Economics and Related Disciplines, 1992.

B, Fomby Thomas, and Hill R. Carter, eds. Maximum likelihood estimation of misspecified models: Twenty years later. Amsterdam: Elsevier/JAI, 2003.

Greenblatt, Seth A. Tensor methods for full-information maximum likelihood estimation: Estimation with parameter constraints. Reading: University of Reading. Department of Economics, 1992.

Holly, Alberto. A note on instrumental variables and maximum likelihood estimation procedures. London: London School of Economics, 1986.

Corporation, Assessment Systems, ed. User's manual for the XCALIBRE marginal maximum-likelihood estimation program. St. Paul, MN: Assessment Systems Corporation, 1996.

Lewis, Peter A. W. Gamma processes. Monterey, Calif: Naval Postgraduate School, 1986.

Bollerslev, Tim. Quasi-maximum likelihood estimation of dynamic models with time varying covariances. Cambridge, Mass: Massachusetts Institute of Technology, 1988.

E, Maine Richard, and Dryden Flight Research Facility, eds. More than you may want to know about maximum likelihood estimation. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

S, Burrus C., ed. Maximum-likelihood deconvolution: A journey into model-based signal processing. New York: Springer-Verlag, 1990.

Mendel, Jerry M. Maximum-Likelihood Deconvolution: A Journey into Model-Based Signal Processing. New York, NY: Springer New York, 1990.

Gaver, Donald Paul. Preliminary results from the anlysis of wind component error: July data. Monterey, Calif: Naval Postgraduate School, 1992.

Millar, R. B. Maximum likelihood estimation and inference: With examples in R, SAS, and ADMB. Hoboken, N.J: Wiley, 2011.

Fuhrer, Jeffrey C. Computationally efficient solution and maximum likelihood estimation of nonlinear rational expectations models. Boston: Federal Reserve Bank of Boston, 1996.

Ferger, D. On the almost sure convergence of maximum likelihood-type estimators for a change point. Dresden: Technische Universität Dresden, Institut für Mathematische Stochastik, 2004.

Charemza, W. Maximum likelihood methods of estimation for disequilibrium models in a centrally planned economy. Birmingham: University of Birmingham, Centre for Russian and East European Studies, 1985.

Hurn, A. S. Modelling the lifespan of human lymphocyte subsets: Maximum likelihood estimation by embedded simulation. Glasgow: Glasgow University Department of Political Economy, 1994.

Pesaran, Bahram. Exact maximum likelihood estimation of regression models with invertible general order movingaverage disturbances. London: National Institute of Economic and Social Research, 1988.

Paolino, Jon-Paul Noel. Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models. [New York, N.Y.?]: [publisher not identified], 2013.

Silk, Julian. Maximum likelihood estimation of singular systems of equations: An application to translog cost functions. Ramat-Gan, Israel: Dept. of Economics, Bar-Ilan University, 1994.

Cappellari, Lorenzo. Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation. Bonn, Germany: IZA, 2006.

Cheung, Yin-Wong. On maximum-likelihood estimation of the differencing parameter of fractionally integrated noise with unknown mean. Philadelphia: Federal Reserve Bank of Philadelphia, Economic Research Division, 1993.

Geological Survey (U.S.), ed. Adjusted maximum likelihood estimation of the moments of lognormal populations from type 1 censored samples. [Denver, Colo.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

Geological Survey (U.S.), ed. Adjusted maximum likelihood estimation of the moments of lognormal populations from type 1 censored samples. [Denver, Colo.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

Wiesen, Christopher. Learn to Use Maximum Likelihood Parameter Estimation in Stata With the Cardiac Catheterization Diagnostic Dataset (2018). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526498939.

Lejeune, Bernard. Error components models and variable heterogeneity: Modelisation, second order pseudo-maximum likelihood estimation and specification testing. Grenoble: A.N.R.T, Université Pierre Mendes France (Grenoble II), 1998.

Leeuw, Jaap H. de. The application of linear maximum likelihood estimation of aerodynamic derivatives for the Bell-205 and Bell-206. Ottawa: National Research Council Canada, 1987.

Schwenzfeger, K. J. Comparison of ERS-1 scatterometer Monte Carlo performance simulations using a weighted nonlinear least-squares and a maximum likelihood estimation method. Neubiberg: Hochschule der Bundeswehr München, 1985.

Baram, Yoram. Estimation and classification by sigmoids based on mutual information. [Washington, D.C: National Aeronautics and Space Administration, 1994.

Lee, Kyle H., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. User's guide: Nimbus-7 earth radiation budget narrow-field-of-view products: Scene radiance tape products, sorting into angular bins products, and maximum likelihood cloud estimation products. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1990.

Lee, Kyle H., ed. User's guide--Nimbus-7 earth radiation budget narrow-field-of-view products: Scene radiance tape products, sorting into angular bins products, and maximum likelihood cloud estimation products. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

Kyle, H. Lee. User's guide: Nimbus-7 earth radiation budget narrow-field-of-view products: Scene radiance tape products, sorting into angular bins products, and maximum likelihood cloud estimation products. Greenbelt, Md: Goddard Space Flight Center, 1990.

Maximum Likelihood Estimation of Exponentials in Unknown Colored Noise for Target Identification in Synthetic Aperture Radar Images. Storming Media, 1996.